Asymptotic of Cauchy biorthogonal polynomials
U. Fidalgo, G. Lopez Lagomasino, S. Medina Peralta

TL;DR
This paper investigates the asymptotic behavior of Cauchy biorthogonal polynomials and their connection to Hermite-Padé approximation, providing new insights into their weak and ratio asymptotics.
Contribution
It introduces the asymptotic analysis of Cauchy biorthogonal polynomials and links it to mixed Hermite-Padé approximation problems, revealing their asymptotic properties.
Findings
Weak asymptotics of biorthogonal polynomials established
Ratio asymptotics characterized
Connection with Hermite-Padé approximation elucidated
Abstract
We consider sequences of biorthogonal polynomials with respect to a Cauchy type convolution kernel and give the weak and ratio asymptotic of the corresponding sequences of biorthogonal polynomials. The construction is intimately related with a mixed type Hermite-Pad\'e approximation problem whose asymptotic properties is also revealed.
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Taxonomy
TopicsMathematical functions and polynomials · Approximation Theory and Sequence Spaces · Mathematical Approximation and Integration
Asymptotic of Cauchy biorthogonal polynomials
U. Fidalgo
Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Cleveland, Ohio 43403, U.S.A.
,
G. López Lagomasino
Department of Mathematics, Universidad Carlos III de Madrid, Avenida de la Universidad, 30 CP-28911, Leganés, Madrid, Spain.
and
S. Medina Peralta
Instituto de Matemática y Física. Universidad de Talca. Camino Lircay S/N, Campus Norte, Talca, Chile
Abstract.
We consider sequences of biorthogonal polynomials with respect to a Cauchy type convolution kernel and give the weak and ratio asymptotic of the corresponding sequences of biorthogonal polynomials. The construction is intimately related with a mixed type Hermite-Padé approximation problem whose asymptotic properties is also revealed.
The first author was supported in part by the research grant MTM2015-65888-C4-2-P of Ministerio de Economía, Industria y Competitividad, Spain.
The second author was supported in part by the research grant MTM2015-65888-C4-2-P of Ministerio de Economía, Industria y Competitividad, Spain.
The third author was supported by Conicyt Fondecyt/Postdoctorado/ Proyecto 3170112.
Keywords: biorthogonal polynomials, Hermite-Padé approximation, weak asymptotic, ratio asymptotic
AMS classification: Primary: 30E10, 42C05; Secondary: 41A21
1. Introduction
Let be a bounded subinterval of the real line. By we denote the class of all finite positive Borel measures whose support has infinitely many points and is the smallest interval containing . Take intervals , . Throughout the paper we will assume that
[TABLE]
and is an ordered collection of measures such that .
It is easy to see that for each there exists a polynomial not identically equal to zero, such that
[TABLE]
Finding reduces to solving a system of homogeneous linear equations on the unknown coefficients of the polynomial which always has a non-trivial solution. It can be shown that any non-trivial solution has degree . This entails that is uniquely determined except for a constant factor. All the zeros of are simple and lie in the interior of (which we denote and the interior is taken with respect to the Euclidean topology of ). This and other properties of will be proved below in Lemma 2.4. In the sequel, we normalize to be monic.
The orthogonality relations may be expressed more compactly as follows. When we consider the usual Cauchy kernel . For we take
[TABLE]
With this notation, (1.2) adopts the form
[TABLE]
Taking into account what was said above, there exist two sequences of monic polynomials such that for each , and
[TABLE]
As usual, .
These two sequences of polynomials are said to be biorthogonal with respect to . Notice that the ordering of the measures is important in the definition of the kernel and thus in the definition of biorhogonality. In [3] the authors introduce the concept of biorthogonality with respect to a totally positive kernel. The kernels we have introduced do not fall in that category (except when ) and, therefore, we will follow a different approach.
When biorthogonal polynomials appear in the analysis of the two matrix model [4] and for finding discrete solutions of the Degasperis-Procesi equation [3] through a Hermite-Padé approximation problem for two discrete measures. Motivated in [3], the approximation problem was extended in [13] for arbitrary and general measures proving the convergence of the method.
In this paper, we study the asymptotic properties of the sequences of biorthogonal polynomials depending on the analytic properties of the measures in . Before stating the corresponding results, we need to introduce some classes of measures and notation.
It is said that is regular, and we write , if
[TABLE]
where denotes the logarithmic capacity of and is the leading coefficient of the -th orthonormal polynomial with respect to . See [21, Theorems 3.1.1, 3.2.1] for different equivalent forms of defining regular measures and its basic properties. In connection with regular measures it is frequently convenient that the support of the measure be regular. A compact set is said to be regular when Green’s function corresponding to with singularity at can be extended continuously to .
A measure is said to verify the Turan condition when almost everywhere on with respect to the Lebesgue measure. In this case, and .
1.1. Statement of the main results
There are two forms of asymptotic results which play an important role in the general theory of orthogonal polynomials and their applications; namely, their weak asymptotic, connected with the asymptotic zero distribution of their zeros, and the ratio asymptotic (see, for example, [8], [14], [17], [18], [19], [20], and [21]). This interest extends to multiple orthogonal polynomials, which are related with biorthogonal polynomials (see [1], [7], and [9]). The two results we state below follow this line of research.
Given a polynomial , we denote the associated normalized zero counting measure by
[TABLE]
where denotes the Dirac measure with mass at the point . Our first result says the folowing.
Theorem 1.1**.**
For each , assume that and is regular. Then, there exist probability measures such that
[TABLE]
where the convergence is in the weak star topology of measures.
The measures are the first and last components of the solution of an associated vector equilibrium problem. This result is a consequence of Theorem 3.4 (see also Corollary 3.12) of Section 3. In Section 3, we will specify the vector equilibrium problem we must deal with and obtain the weak asymptotic of other polynomials and forms associated with this problem.
Theorem 1.2**.**
Assume that a.e. on . Then, there exist analytic functions such that
[TABLE]
uniformly on each compact subset of and , respectively.
The functions and are expressed in terms of the branches of a conformal mapping defined on an sheeted Riemann surface of genus zero. This result is a consequence of the more general Theorem 4.2 (see also Corollary 4.6) stated and proved in Section 4 where the Riemann surface is built, the functions are identified and the ratio asymptotic of other polynomials and forms related with this problem are given.
The contents of Sections 3-4 have been described previously. In Section 2 we establish a series of auxiliary results needed in the proofs of the main results. In particular, the existence of the sequences of biorthogonal polynomials is established as well as some properties of their zeros.
2. Multi-orthogonality relations
The results of this section have an algebraic flavor but are indispensable in all what follows. Some may be extracted from [13] but we will include the proofs when it is essential to make the reading more comprehensive.
2.1. Nikishin system
Nikishin systems were first introduced in [15]. Let be two bounded intervals contained in the real such that . Take and . Using the differential notation, we define a third measure as follows
[TABLE]
where is the Cauchy transform of .
Consider a collection of intervals verifying (1.1) and measures .
Definition 2.1**.**
We say that , where
[TABLE]
is the Nikishin system of measures generated by . Here, is defined inductively by taking
[TABLE]
The definition of a Nikishin system can be extended to the case when the intervals are unbounded or touching. The results of this section remain valid when the Nikishin systems are constructed following the more general definition given in [13]. However, the asymptotic results given in Sections 3-4 require that we use the more restricted version presented here (which, incidentally, coincides with its original formulation in [15]).
In what follows, for , we denote
[TABLE]
We will make frequent use of [12, Theorem 1.3]. For convenience of the reader, we state it here as a lemma. With the present assumptions, the statements are immediate consequences of Cauchy’s integral formula, Cauchy’s theorem, and the Fubini theorem.
Lemma 2.2**.**
Let be given. Assume that there exist polynomials with real coefficients and a polynomial with real coefficients whose zeros lie in such that
[TABLE]
where and . Let . Then
[TABLE]
If , we also have
[TABLE]
In particular, has at least sign changes in .
2.2. Multi-level Hermite-Padé approximation
We will show shortly that the biorthogonal polynomials are intimitely connected with a mixed (multilevel) type Hermite-Padé approximation problem introduced in [13]. Let us start with the definition.
Definition 2.3**.**
Consider the Nikishin system . Then, for each there exist polynomials with and , not all identically equal to zero, called multi-level (ML) Hermite-Padé polynomials that verify:
[TABLE]
where is as . By extension, we take .
The existence of is obtained solving a homogeneous linear system of equations on the coefficients of the polynomials. Among other properties, in [13] (see also Lemma 2.4 below) it was shown that and the vector of polynomials is uniquely determined up to a constant factor. Consequently, the linear form is uniquely determined up to a constant factor and we normalize it so that is monic.
From (2.3) applied with it readily follows that
[TABLE]
Consequently, for
[TABLE]
When notice that
[TABLE]
Some of the statements of the next two results may be extracted from [13]. However, new notation is introduced and several formulas do not appear explicitly in that paper so, for convenience of the reader, we include a full proof.
Lemma 2.4**.**
Consider the Nikishin system . For each fixed and , has exactly zeros in they are all simple and lie in . has no zero in . Let denote the monic polynomial of degree whose zeros are those of in . We have is the -th biorthogonal polynomial verifying (1.2). For each ,
[TABLE]
where , and
[TABLE]
Proof.
Fix . According to (2.5), (2.3), and (2.4)
[TABLE]
and
[TABLE]
Therefore, has at least sign changes on . Should the right hand of (2.5) be or have some zero in the use of (2.4) would allow us to conclude that the number of sign changes of on would be at least .
Let be a monic polynomial with real coefficients constructed as follows. It contains as zeros all the points where changes sign on taking account of their multiplicity (by the identity principle there can be at most a finite number of such points). Should have any other root in different from the ones taken above, we assign to one such zero and its complex conjugate if it is a complex number. This is possible because the functions are symmetric with respect to the real line and its non real roots come in conjugate pairs. If has exactly simple zeros on and no other root in then is the polynomial denoted in the statement of the lemma; otherwise, . We will show that the second option is not possible.
By the form in which was chosen
[TABLE]
where if either or the expansion in the right hand side of (2.7) starts at ; otherwise, and . From (2.3) and (2.4)
[TABLE]
and
[TABLE]
which implies that has at least sign changes on .
Now, we can proceed as before defining similar to the way in which was chosen. Repeating the arguments employed above, we have
[TABLE]
and
[TABLE]
where if either or the asymptotic expansion at of starts at . Otherwise, and . In particular, has at least sign changes on .
Following this line of reasoning, for each we can define polynomials with real coefficients whose zeros lie in , with at least sign changes on such that
[TABLE]
where , and
[TABLE]
where if either or the asymptotic expansion at of starts at . Otherwise, and .
The last relation for reduces to
[TABLE]
(recall that ). Since , if the orthogonality relation would imply that and because of (2.8) which is not the case. Therefore, . This readily implies that . Consequently, its zeros are simple and lie on and . Now the orthogonality relations imply that has exactly simple zeros on and we can take . With this notation, the relations above render (2.10) and (2.11). From (2.11) with and the expression for given in (2.9) it follows that is the -th biorthogonal polynomial defined in (1.3). We have completed the proof. ∎
Set
[TABLE]
As we did before, we take .
Lemma 2.5**.**
Consider the Nikishin system . For each fixed and
[TABLE]
and
[TABLE]
Proof.
It is easy to see that (2.13) is the same as (2.11) with the new notation. Since , (2.13) implies that
[TABLE]
In other words,
[TABLE]
However, using (2.10)
[TABLE]
and the left hand of the previous equality reduces to . Therefore, (2.14) takes place. ∎
Remark 2.6*.*
We wish to underline that the varying measure
[TABLE]
appearing in (2.13) and (2.14) has constant sign on . Indeed, has constant sign and its support is contained in . This interval does not intersect or which is where the zeros of and lie, respectively. On the other hand takes away from all the zeros it had in ; in particular, those in . This observation is of importance later on.
The next lemma implies that for each the sequence , is uniformly bounded on each compact subset of . This will be very useful in Section 4. The idea of the proof was borrowed from [1, Theorem 2.1] where a similar problem was treated.
Lemma 2.7**.**
Consider the Nikishin system . For each and the zeros of and interlace.
Proof.
First of all notice that the statement is equivalent to proving that the zeros of and in interlace (recall that ). Fix . Let be such that and define the linear forms
[TABLE]
Obviously, and .
Arguing with the functions as we did with the in the proof of Lemma 2.4 it is easy to deduce that for each the function has at least sign changes in and at most zeros in . Therefore, all the zeros of in are real and simple.
From this statement we can draw the conclusion that and cannot have a common zero. Should such a point exist the function
[TABLE]
would have a double zero at which contradicts the statement above.
For each fixed , consider the following linear form
[TABLE]
Since , we have . Let be two consecutive zeros of in . The values all differ from zero because the zeros are simple and there are no common zeros for consecutive . Therefore,
[TABLE]
But the function preserves the same sign all along the interval . Since changes its sign in passing from to so must and thus must have an intermediate zero between and . We are done. ∎
2.3. The reversed Nikishin system.
Notice that we can also consider the so called reversed Nikishin system and with it the corresponding associated ML Hermite Padé approximation. More precisely, for each there exist polynomials such that , not all identically equal to zero, such that
[TABLE]
Set .
Using what has been proved, for each the form has exactly zeros in they are all simple and lie in . Accordingly, there exist monic polynomials of degree whose zeros are the roots of in , respectively. Normalizing so that is monic, the polynomial equals and it is the -th biorthogonal polynomial verifying (1.4). This last statement is the contents of [13, Theorem 1.5] but it readily follows from Lemma 2.4. Lemma 2.7 implies that for each the zeros of and interlace.
3. Weak asymptotic.
Following standard techniques, the weak asymptotic is derived using arguments from potential theory. Therefore, we will briefly summarize what we need.
3.1. Preliminaries from potential theory.
Let be (not necessarily distinct) compact subsets of the real line and
[TABLE]
a real, positive definite, symmetric matrix of order . will be called the interaction matrix. Let be the subclass of probability measures in Set
[TABLE]
Given a vector measure and we define the combined potential
[TABLE]
where
[TABLE]
denotes the standard logarithmic potential of . We denote
[TABLE]
In Chapter 5 of [16] the authors prove (we state the result in a form convenient for our purpose)
Lemma 3.1**.**
Assume that the compact sets are regular. Let be a real, positive definite, symmetric matrix of order . If there exists such that for each
[TABLE]
then is unique. Moreover, if when , then exists.
For details on how Lemma 3.1 is derived from [16, Chapter 5] see [5, Section 4]. The vector measure is called the equilibrium solution for the vector potential problem determined by the interaction matrix on the system of compact sets and is the vector equilibrium constant. There are other characterizations of the equilibrium measure and constant but we will not dwell into that because they will not be used and their formulation requires introducing additional notions and notation.
In the proof of the asymptotic zero distribution of the polynomials we take . The interaction matrix is the typical one for problems involving Nikishin systems. Namely,
[TABLE]
which is a real, symmetric, positive definite matrix with positive diagonal elements. All the assumptions of Lemma 3.1 are in place and the existence of a unique vector equilibrium measure on the system of sets is guaranteed.
We also need
Lemma 3.2**.**
Let be a regular compact set and a continuous function on . Then, there exists a unique and a constant such that
[TABLE]
In particular, equality takes place on all . If the compact set is not regular with respect to the Dirichlet problem, the second part of the statement is true except on a set such that Theorem I.1.3 in [20] contains a proof of this lemma in this context. When is regular, it is well known that this inequality except on a set of capacity zero implies the inequality for all points in the set (cf. Theorem I.4.8 from [20]). is called the equilibrium measure in the presence of the external field on and is the equilibrium constant.
One last ingredient in the proof of the asymptotic zero distribution of the polynomials is provided by the following lemma. Different versions of it appear in [8], and [21]. In [8], it was proved assuming that is an interval on which a.e. Theorem 3.3.3 in [21] does not cover the type of external field we need to consider. As stated here, the proof appears in [7, Lemma 4.2].
Lemma 3.3**.**
Assume that and is regular. Let be a sequence of positive continuous functions on such that
[TABLE]
uniformly on . Let be a sequence of monic polynomials such that and
[TABLE]
Then
[TABLE]
and
[TABLE]
where and are the equilibrium measure and equilibrium constant in the presence of the external field on . We also have
[TABLE]
where denotes the uniform norm on and is the smallest interval containing .
3.2. Weak asymptotic and some consequences.
We are ready for the proof of the asymptotic zero distribution of the polynomials .
Theorem 3.4**.**
Assume that and is regular for each . Then,
[TABLE]
where is the vector equilibrium measure determined by the matrix on the system of compact sets . Moreover,
[TABLE]
where is the vector equilibrium constant.
Proof.
The unit ball in the cone of positive Borel measures is weak star compact; therefore, it is sufficient to show that each one of the sequences of measures , , has only one accumulation point which coincides with the corresponding component of the vector equilibrium measure determined by the matrix on the system of compact sets .
Let be such that for each
[TABLE]
Notice that , . Taking into account that all the zeros of lie in , it follows that
[TABLE]
uniformly on compact subsets of .
Because of the normalization adopted, ; consequently, when , (2.13) takes the form
[TABLE]
According to (3.7)
[TABLE]
uniformly on . Using Lemma 3.3, it follows that is the unique solution of the extremal problem
[TABLE]
and
[TABLE]
Using induction on decreasing values of , let us show that for all
[TABLE]
where , and
[TABLE]
where . For these relations are non other than (3.8)-(3.9) and the initial induction step is settled. Let us assume that the statement is true for and let us prove it for .
For , the orthogonality relations (2.13) can be expressed as
[TABLE]
and using (2.14) it follows that
[TABLE]
for
Relation (3.7) implies that
[TABLE]
uniformly on (Since , when we only get the second term on the right hand side of this limit.)
Set
[TABLE]
It follows that for
[TABLE]
where Taking into consideration these inequalities, from the induction hypothesis, we obtain that
[TABLE]
Taking (3.12) and (3.14) into account, Lemma 3.3 yields that is the unique solution of the extremal problem (3.10) and
[TABLE]
Using (2.14) the previous formula reduces to (2.4). We have concluded the induction.
Now, we can rewrite (3.10) as
[TABLE]
for , where
[TABLE]
(Recall that the terms with and do not appear when and , respectively.) By Lemma 3.1, is the equilibrium solution for the vector potential problem determined by the interaction matrix on the system of compact sets and is the corresponding vector equilibrium constant. This is for any convergent subsequence; since the equilibrium problem does not depend on the sequence of indices and the solution is unique we obtain the limits in (3.5).
From the uniqueness of the vector equilibrium constant and (3.11), we have
[TABLE]
On the other hand, from (3.16) it follows that when Suppose that where . Then, according to (3.16)
[TABLE]
and (3.6) immediately follows. ∎
Theorem 3.5**.**
Assume that and is regular. Then, for each
[TABLE]
, where
[TABLE]
and
[TABLE]
* is the vector equilibrium measure and is the vector equilibrium constant for the vector potential problem determined by the interaction matrix acting on the system of compact sets .*
Proof.
If then and (3.5) directly implies that
[TABLE]
For , from (2.14) we have
[TABLE]
where . Now, (3.5) implies
[TABLE]
(we also use that the zeros of and lie in and , respectively). It remains to find the -th root asymptotic behavior of the integral.
Fix a compact set It is easy to verify that (for the definition of see (3.13))
[TABLE]
where
[TABLE]
and
[TABLE]
Taking into account (3.6)
[TABLE]
From (3.18)-(3.20), we obtain (3.17) and we are done. ∎
In [13, Theorem 1.6] it was proved that for each
[TABLE]
uniformly on compact subsets of .
Corollary 3.6**.**
Assume and is regular for each . Then,
[TABLE]
uniformly on compact subsets of .
Proof.
We have ; consequently, (3.22) when is a consequence of (3.17). On the other hand, the function never equals zero in ; therefore, for the remaining values of formula (3.22) is an immediate consequence of (3.22) for and (3.21). ∎
Now we wish to use the results obtained to produce estimates of the rate of convergence in (3.21). For this we need some properties that we summarize in the next corollary.
Corollary 3.7**.**
Under the assumptions of Theorem 3.5, for each and we have
[TABLE]
[TABLE]
uniformly on compact subsets , and
[TABLE]
[TABLE]
uniformly on compact subsets . For
[TABLE]
by convention, . If
[TABLE]
which implies that the sequence converges to zero with geometric rate on any compact subset of .
Proof.
Fix and . From (3.18) we obtain that
[TABLE]
Using the relation (3.5) in Theorem 3.4, it follows that uniformly on each compact subset , we have
[TABLE]
and taking into account (3.20), from (3.27) we obtain (3.24).
Now, from the principle of descent (see [21, Appendix III]), locally uniformly on we have
[TABLE]
Using the lower bound in (3.19) (with replaced by ) to estimate the integral in the denominator of (3.27) from below and the previous remarks, (3.23) readily follows.
According to (3.10), for we have
[TABLE]
Recall that all the measures are probability, hence for each the function is harmonic at , and is subharmonic in . According to the maximum principle for subharmonic functions we obtain (3.25).
When , the left hand of (3.29) reduces to which is subharmonic in and also subharmonic at since
[TABLE]
Therefore, we can also use the maximum principle to derive (3.25). The case is completely analogous to the case .
When we can write
[TABLE]
[TABLE]
and this sum contains at least two terms because . Each term is less than or equal to zero in all and so is the whole sum. To prove that it is strictly negative it is sufficient to show that at each point there is at least one negative term in the sum. Let us assume that there is a such that
[TABLE]
By what was proved above, this implies that . However, this is impossible because consecutive intervals in a Nikishin system are disjoint. From (3.23) and (3.26) the final statement of the corollary readily follows. ∎
As a consequence of Corollary 3.7 we can recover the functions .
Corollary 3.8**.**
Under the assumptions of Theorem 3.5, for each , we have
[TABLE]
uniformly on each compact subset of
Proof.
Using formula (2.2) from [13, Lemma 2.1] with and , we obtain the following identity
[TABLE]
The formula holds at all points where both sides are meaningful. Dividing by , we obtain
[TABLE]
[TABLE]
To obtain (3.30), it remains to take limit on both sides and make use of the fact that the ratios uniformly tend to zero on compact subsets of ∎
Incidentally, we wish to mention that (3.23) and (3.26) imply that (3.30) takes place with geometric rate.
As a consequence of Corollary 3.7 we can also give explicit expressions for the exact rate of convergence of the limits (3.21).
Theorem 3.9**.**
Assume that and is regular. Then, for each :
[TABLE]
uniformly on each compact subset , where is a polynomial of degree at most whose roots are the possible zeros which may have in a neighborhood of .
Proof.
Let us start out again from (3.31), but now we divide it by . We obtain,
[TABLE]
which is equivalent to
[TABLE]
Now, ; consequently, uniformly on compact subsets of . This, together with (3.24) and (3.26) gives us
[TABLE]
uniformly on compact subsets of Then,
[TABLE]
uniformly on compact subsets of Using again (3.24) on the limit on the right hand side, it follows that
[TABLE]
uniformly on compact subsets of . Notice that for such compact sets can be taken equal to in (3.32) for all .
Let us improve (3.33) to cover (3.32). For this, it is sufficient to show that for every there exists such that (3.32) holds true uniformly on the closed disk . Fix and let be equal to the distance from to .
For each , the function has at least sign changes on (see [13, relation (2.26)]). It readily follows that can vanish at most times, counting multiplicities, in . Indeed, the opposite implies that verifies at least orthogonality relations on with respect to a measure with constant sign which is impossible since . Let denote the monic polynomial that vanishes at the zeros of in . Obviously, .
The functions are analytic and different from zero in . Therefore, for each we can define a branch holomorphic in . Let us show that is uniformly bounded on . Due to (3.21) the sequence is uniformly bounded above on the annulus .
Let be the collection of roots of and the circle of radius centered at . The sum of the diameters of these circles does not exceed
[TABLE]
Since is the width of the annulus , there exists a circle of radius centered at which does not intersect any of the circles . On , we have
[TABLE]
By the maximum principle for analytic functions, we have
[TABLE]
[TABLE]
where is a constant which does not depend on . Consequently, the sequence of functions is uniformly bounded on each compact subset of .
Choose any convergent subsequence
[TABLE]
Without loss of generality, taking a sub-subsequence if necessary, we can assume that , where is a polynomial of degree . The function is analytic in the disk . Since in it follows that is either identically equal to zero or never equals zero in . According to (3.33)
[TABLE]
Now is analytic in and the right hand side of (3.34) is the absolute value of an analytic function in so by analytic continuation (3.34) holds on all . Consequently,
[TABLE]
uniformly on compact subsets of .
For an arbitrary compact set , in order to construct we would have to remove all the zeros of in a neighborhood of . By what was said above the amount of such zeros does not exceed . Then, (3.32) is obtained taking an appropriate covering of . For compact subsets away from the real line (3.32) follows from (3.33) taking . We are done. ∎
Remark 3.10*.*
We suspect that the zeros of lying in accumulate on (more specifically on ). If this is true, then (3.32) with holds on compact subsets of . Consider . This set can be written as the union of disjoint intervals. Of those disjoint intervals, let be the ones containing and , respectively (they may coincide). Using arguments similar to those employed in the proof of Corollary 3.8, it is not hard to deduce that (3.30) takes place uniformly on compact subsets of . Since and have no zeros or poles in from the argument principle it follows that all the accumulation points of zeros of must be contained in . Consequently, (3.32) with holds true uniformly on each compact subset of .
Remark 3.11*.*
Regarding the forms and the polynomials introduced in Subsection 2.3 in connection with the reversed Nikishin system , asymptotic formulas analogous to those presented in this Section immediately follow and their formulation is left to the reader. We underline that the corresponding interaction matrix will be exactly the same that we had before and, therefore, we have the same equilibrium problem with the intervals taken in reversed order. An immediate consequence is the following result.
Corollary 3.12**.**
Under the same hypothesis as in Theorem (3.4), we have
[TABLE]
where is the vector equilibrium measure determined by the matrix on the system of compact sets .
4. Ratio asymptotic
The ratio asymptotic of multiple orthogonal polynomials is described in terms of the branches of a conformal mapping defined on a Riemann surface associated with the geometry of the problem.
4.1. The Riemann surface
Consider the -sheeted Riemann surface
[TABLE]
formed by the consecutively “glued” sheets
[TABLE]
where the upper and lower banks of the slits of two neighboring sheets are identified. (We remark that the sheets are made up of distinct points.)
Let be a conformal representation of onto the extended complex plane satisfying
[TABLE]
[TABLE]
where and are nonzero constants. Since the genus of is zero, exists and is uniquely determined up to a multiplicative constant. Consider the branches of corresponding to the different sheets of
[TABLE]
We normalize so that
[TABLE]
Since is such that then
[TABLE]
In fact, define . Notice that and have the same divisor (same poles and zeros counting multiplicities); consequently, there exists a constant such that . Comparing the leading coefficients of the Laurent expansion of these two functions at , we conclude that .
In terms of the branches of , the symmetry formula above means that for each :
[TABLE]
; therefore, the coefficients (in particular, the leading one) of the Laurent expansion at of the branches are real numbers, and
[TABLE]
Since , by continuity it is not hard to deduce that and On the other hand, the product of all the branches is a single valued analytic function on without singularities; therefore, by Liouville’s Theorem it is constant. Due to the previous remark and the normalization adopted in (4.1), we can assert that
[TABLE]
In [1, Lemma 4.2] the following result was proved.
Lemma 4.1**.**
The system of boundary value problems
[TABLE]
() has a unique solution. The solution may be expressed by the formulas
[TABLE]
That the functions defined by the product in (4.5) verify is trivial. From the definition of it is also obvious that has a simple pole at . Since and , we also have . That the boundary conditions are satisfied follows from (4.2) and (4.3). The proof of unicity is more involved and can be checked in [1, Lemma 4.2].
4.2. Ratio asymptotic.
We will prove ratio asymptotic for all the polynomials at once. Of course, the same can be obtained for the polynomials . The precise statement is the following.
Theorem 4.2**.**
Assume that a.e. on . Then,
[TABLE]
uniformly on each compact subset of , where is defined in (4.5).
Proof.
For the proof we proceed as follows. From Lemma 2.7, for each the family of functions is uniformly bounded on each compact subset of . To prove (4.6) it suffices to show that for any such that
[TABLE]
exists, the limiting functions do not depend on . To achieve this, we will prove that there are positive constants for which the collection of functions verifies the system (4.4). Once this is done, using Lemma 4.1 and the fact that , one obtains that
[TABLE]
and (4.6) follows.
Obviously, the functions in satisfy and as mentioned before so also takes place. We show that boundary conditions of type are also valid with different values on the right hand side. In order to prove this, we use results on ratio and relative asymptotic of polynomials orthogonal with respect to varying measures developed in [6], [10], [11].
Along with the constants defined in (3.13) we also consider the constants
[TABLE]
Define
[TABLE]
where was defined in (2.12). From (2.13) it follows that for each
[TABLE]
Therefore, is the -th monic orthogonal polynomial with respect to the varying measure
[TABLE]
and is the -th orthonormal polynomial with respect to the same varying measure.
Reasoning as before, we obtain that and are the monic orthogonal and the orthonormal polynomials, respectively, with respect to the varying measure
[TABLE]
On account of (4.7)
[TABLE]
uniformly on (). On the other hand, from (2.14) it follows that
[TABLE]
and using Theorem 9 of [6] we get
[TABLE]
uniformly on compact subsets of , where (notice that from the definition we have Therefore,
[TABLE]
uniformly on which combined with (4.12) gives
[TABLE]
uniformly on The function on the right hand side of this relation is continuous and different from zero on
Fix Let be the -th monic orthogonal polynomial with respect to the measure in (4.11). Write
[TABLE]
Using the result on ratio asymptotic of orthogonal polynomials with respect to varying measures given in [6, Theorem 6] it follows that
[TABLE]
uniformly on compact subsets of , where denotes the conformal representation of onto such that and . On the other hand, due to (4.11) and (4.15), the result on relative asymptotic of orthogonal polynomials with respect to varying measures contained in [2, Theorem 2] establishes that
[TABLE]
where is the Szegő function on with respect to the weight
[TABLE]
therefore.
[TABLE]
From (4.7), (4.16), and (4.17), it follows that
[TABLE]
which combined with (4.18) implies that for , and
[TABLE]
where Therefore, the collection of functions fulfills (4.4) with right hand side in equal to .
In order to get the correct value on the right hand side we need to find positive constants such that
[TABLE]
Taking logarithms, it is sufficient to notice that the system of equations
[TABLE]
has a solution since the determinant of this system is different from zero. ∎
The following Corollary complements Theorem 4.2.
Corollary 4.3**.**
Assume that a.e. on . Let be the system of orthonormal polynomials defined in and the values given in . Then, for each fixed we have
[TABLE]
[TABLE]
and
[TABLE]
uniformly on compact subsets , where
[TABLE]
where . We also have
[TABLE]
uniformly on compact subsets of When , and the factors and are substituted by . Finally
[TABLE]
uniformly on compact subsets of .
Proof. By (4.6) we have limit in (4.15) as . Reasoning as in the deduction of formula (4.19) but now in connection with orthonormal polynomials (see [6]) it follows that
[TABLE]
and
[TABLE]
uniformly on compact subsets of . Dividing the second of these limits by the first it follows that
[TABLE]
where and the are the normalizing constants found solving the linear system of equations (4.21). In (4.8) we saw that and formula (4.22) follows with as in (4.25). Then, (4.24) is a consequence of (4.22) and (4.6).
From the definition of we have that
[TABLE]
Taking the ratio of these constants for the multi-indices and and using (4.22), we get (4.23).
Combining (2.12), (4.9). and (4.13) we obtain the formula
[TABLE]
Taking the absolute value of the ratio of these expressions for and , on account of (4.6), (4.23), and (4.14) relation (4.26) immediately follows.
According to (3.21)
[TABLE]
uniformly on compact subsets of . However, and, therefore,
[TABLE]
so (4.27) takes place. We are done.
Remark 4.4*.*
From and it follows that for each
[TABLE]
and
[TABLE]
uniformly on compact subsets of . Compare with (3.7).
Remark 4.5*.*
Since the generating measures of and are the same but in reversed order, from Theorem 4.2 and Corollary 4.3 similar results can be formulated for the polynomials the corresponding orthonormal polynomials, their leading coefficients and the associated linear forms. The specific statements are left to the reader. We limit ourselves to the following statement.
Corollary 4.6**.**
Under the assumptions of Theorem 4.2, we have
[TABLE]
uniformly on compact subsets of .
Proof. The existence of the limit follows directly from Theorem 4.2. To determine the expression of the limiting functions we need to construct the Riemann surface taking the intervals in reversed order. But this is the same Riemann surface that we had before except that the sheets are in inverted order. Let be the conformal map from onto with a simple zero at and a simple pole at . Let denote its branch on the sheet . We normalize so that
[TABLE]
This normalization is the equivalent of (4.1) for this situation.
From the definition and the normalization it is easy to see that
[TABLE]
According to Theorem 4.2 the limit on the right hand of (4.29) should be where
[TABLE]
which is what we needed to prove (recall that ).
Acknowledgement: The authors would like to thank Erwin Miña-Díaz for fruitful discussions related with the proof of Theorem 3.9.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[2] D. Barrios Rolanía, B. de la Calle Ysern, and G. López Lagomasino. Ratio and relative asymptotics of polynomials orthogonal with respect to varying Denisov-type measures. J. Approx. Theory, 139 (2006), 223-256.
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- 4[4] M. Bertola, M. Gekhtman, and J. Szmigielski. Strong asymptotics for Cauchy biorthogonal polynomials with application to the Cauchy two–matrix model. J. of Math. Physics 54 (2013), 043517.
- 5[5] M. Bello Hernández, G. López Lagomasino, and J. Mínguez Ceniceros, Fourier-Padé approximants for Angelesco systems. Constr. Approx. 26 (2007), 339–359.
- 6[6] B. de la Calle Ysern and G. López Lagomasino. Weak Convergence of varying measures and Hermite-Padé orthogonal polynomials. Constr. Approx. 15 (1999), 553-575.
- 7[7] U. Fidalgo, A. López, G. López Lagomasino, and V.N. Sorokin. Mixed type multiple orthogonal polynomials for two Nikishin systems. Constr. Approx. 32 (2010), 255-306.
- 8[8] A. A. Gonchar and E. A. Rakhmanov. The equilibrium measure and distribution of zeros of extremal polynomials. Math. USSR Sb. 53 (1986), 119–130.
